Scholar
Taoran Fang
Google Scholar ID: FT8SBIkAAAAJ
Zhejiang University
Citations & Impact
Citations
296
H-index
5
i10-index
3
Publications
5
Co-authors
5
list available
Resume (English only)
Academic Achievements
- Paper 'DropMessage: Unifying Random Dropping for Graph Neural Networks' received AAAI 2023 Distinguished Paper Award (Rank 1st)
- WAIC 2023 Youth Outstanding Paper Nomination Award (Youngest Ever Winner)
- Chinese Institute of Electronics 2024 Outstanding Ph.D. Award
- AI Time 2023 Top 10 Academic Presentations of the Year
- Published papers at top-tier conferences including ICLR 2025, ICML 2024, NeurIPS 2023, and AAAI 2023
- Pioneered prompt tuning techniques in GNNs with theoretical guarantees (NeurIPS 2023)
- Proposed KAA (Kolmogorov-Arnold Attention) to unify scoring functions in attentive GNNs (ICLR 2025)
Background
- Ph.D. student at the College of Computer Science and Technology, Zhejiang University
- Main research focus: graph data mining and large-scale graph neural networks
- Aims to solve fundamental problems in GNNs with elegant and innovative methods
- Currently researching the synergistic interaction between large language models and graph data for real-world applications
- Actively seeking job opportunities in AI startups
